Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning

17 August 2022

Papers citing "Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning"

6 / 6 papers shown

Title
Interactive Reweighting for Mitigating Label Quality Issues Weikai Yang Yukai Guo Jing Wu Zheng Wang Lan-Zhe Guo Yu-Feng Li Shixia Liu 31 5 0 08 Dec 2023
Dynamic Loss For Robust Learning Shenwang Jiang Jianan Li Jizhou Zhang Ying Wang Tingfa Xu NoLa OOD 28 6 0 22 Nov 2022
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 104 34 0 08 Nov 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 782 0 05 Dec 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 237 446 0 28 Nov 2016